io.github.sadri-dridi/tbsp-to-ml · v1.0.0
Tablespoons to milliliters
建议先在本页复制安装配置，再到上游核对文档与权限。
Tablespoons to milliliters Tablespoons to milliliters 是一个MCP Server，收录自 官方 MCP Registry。支持 streamable-http 传输。本页提供产品介绍、配置教程、安装命令与适用场景，支持 Trae、通义灵码、Cursor、Claude Code、VS Code 等。
自动化测试流水线已校验安装命令、传输协议与客户端兼容性
选择你的平台查看安装方式
{
"mcpServers": {
"tbsp-to-ml": {
"url": "https://agent-observatory-sensor.nolimit-observatory.workers.dev/s/tbsp-to-ml/mcp"
}
}
}以下安装命令与配置步骤已写入页面 HTML，搜索引擎与未启用 JavaScript 的浏览器均可直接读取。
claude mcp add --transport http tbsp-to-ml https://agent-observatory-sensor.nolimit-observatory.workers.dev/s/tbsp-to-ml/mcp{
"mcpServers": {
"tbsp-to-ml": {
"url": "https://agent-observatory-sensor.nolimit-observatory.workers.dev/s/tbsp-to-ml/mcp"
}
}
}针对 Tablespoons to milliliters 在 Cursor、Claude Code 中的常见连接错误与解决办法
通常由本地运行时环境缺失或命令路径未被 IDE 继承引起。排查步骤： 1. 确认已安装 Node.js 18+（支持 npx）或 Python 3.10+（支持 uvx）； 2. 尝试在终端运行 which npx 或 which uvx，把配置文件中的 "command" 字段改为完整绝对路径； 3. 修改 mcp.json 后，必须完全重载或重启客户端窗口。
# 终端测试命令是否存在： which npx node -v
这是因为编辑器后台进程未加载完整的终端环境变量（PATH）。解决方案：在全局安装该包（如 npm install -g 包名），或在配置文件中将 command 设置为系统的实际路径（如 Windows 下的 C:\Program Files\nodejs\npx.cmd，Mac 下的 /usr/local/bin/npx）。
国内环境下首次执行 npx 或拉取依赖时可能因网络受限而超时。建议将 npm 镜像源切换为国内高速镜像（npm config set registry https://registry.npmmirror.com），或在系统级开启开发代理工具。
Tablespoons to milliliters 核心接口调用仿真 · 无需配置本地环境，直接预览调用参数与返回格式
{
"target": "Tablespoons to milliliters",
"action": "execute",
"options": {
"mode": "standard",
"timeoutMs": 5000
}
}点击上方「模拟运行」按钮
查看该工具在 Agent 内部的返回数据格式
帮助你快速判断该资源是否契合当前项目，避免盲目折腾
Tablespoons to milliliters + 对应场景 Prompt → 组成标准 Agent 自动化任务
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{
"id": "io.github.sadri-dridi/tbsp-to-ml",
"type": "mcp-server",
"version": "1.0.0",
"displayName": "Tablespoons to milliliters",
"description": "Tablespoons to milliliters",
"repository": {
"url": "https://github.com/sadri-dridi/named-mcp-utilities",
"source": "github"
},
"distribution": {
"packages": [],
"remotes": [
{
"transport": "streamable-http",
"url": "https://agent-observatory-sensor.nolimit-observatory.workers.dev/s/tbsp-to-ml/mcp"
}
]
},
"dependencies": [],
"installTargets": [
"claude-code",
"claude-desktop",
"cursor",
"vscode",
"trae",
"cherry-studio",
"lingma",
"windsurf",
"cline",
"workbuddy"
],
"keywords": [],
"provenance": {
"origin": "official-mcp-registry",
"originalId": "io.github.sadri-dridi/tbsp-to-ml",
"originalUrl": "https://registry.modelcontextprotocol.io/v0.1/servers/io.github.sadri-dridi%2Ftbsp-to-ml/versions/latest",
"isOfficial": true,
"status": "active"
}
}{
"mcpServers": {
"tbsp-to-ml": {
"url": "https://agent-observatory-sensor.nolimit-observatory.workers.dev/s/tbsp-to-ml/mcp"
}
}
}{
"mcpServers": {
"tbsp-to-ml": {
"url": "https://agent-observatory-sensor.nolimit-observatory.workers.dev/s/tbsp-to-ml/mcp"
}
}
}{
"mcpServers": {
"tbsp-to-ml": {
"url": "https://agent-observatory-sensor.nolimit-observatory.workers.dev/s/tbsp-to-ml/mcp"
}
}
}{
"mcpServers": {
"tbsp-to-ml": {
"url": "https://agent-observatory-sensor.nolimit-observatory.workers.dev/s/tbsp-to-ml/mcp"
}
}
}{
"mcpServers": {
"tbsp-to-ml": {
"url": "https://agent-observatory-sensor.nolimit-observatory.workers.dev/s/tbsp-to-ml/mcp"
}
}
}{
"mcpServers": {
"tbsp-to-ml": {
"url": "https://agent-observatory-sensor.nolimit-observatory.workers.dev/s/tbsp-to-ml/mcp"
}
}
}{
"mcpServers": {
"tbsp-to-ml": {
"url": "https://agent-observatory-sensor.nolimit-observatory.workers.dev/s/tbsp-to-ml/mcp"
}
}
}{
"mcpServers": {
"tbsp-to-ml": {
"serverUrl": "https://agent-observatory-sensor.nolimit-observatory.workers.dev/s/tbsp-to-ml/mcp"
}
}
}